Author

Jun-Yi Wu

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Preprint Oct 2026

VASC: Value-Aware Sparse Attention with Cross-Layer Memory for Efficient 3D Reconstruction

Feed-forward 3D vision models such as VGGT have achieved remarkable progress, unifying camera estimation and dense scene reconstruction in a single pass. However, their quadratic global attention makes long image sequences expensive, while existing sparse methods may favor highly attended yet value-redundant regions. T...

Jun-Yi Wu, Fan-Qing Kong, Le-Yang Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

JustQuant: You Don't Need Smoothing, SVD, or Rotation for 4-Bit Activation Quantization

Recent generative models have become increasingly powerful, but their inference cost continues to grow. Model quantization offers a promising way to compress these models and accelerate inference. However, at 4 bits, activation quantization is substantially more challenging than weight quantization. Recent post-trainin...

Kai-Cheng Yang, Kai-Sen Yang, Chun-Yu Liu et al. · 0 citations

Jul 2026

Factorized Spectral Representations for Reinforcement Learning

FaStR is proposed, which fits this decomposition with a noise contrastive objective, producing separate state, action, and next-state encoders that together form a single spectral representation.

Junyi Wu, Dan Li · arXiv.org · 0 citations